Home / Alternatives to Makisu | СПб Apps Like Makisu | СПб for iPhone and iPad
by LABORATORIYA IKS, OOO ★ 5.0 4 ratings Food & Drink Free Data updated 2026-09-24
Ranked alternatives Showing 721–740 of 1,000 ranked alternatives.
Vitali Meleshchankou
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitry Ivanov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Alekberova Zahra
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
APPS GRUPP, OOO
★ 0.0 0 ratings Shopping Free Data updated 2026-09-06
Aleksandr Chikurov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-27
Nazad V Budushchee, OOO
Order and drink from a bistro
Order with customizable ingredients and save preferred addresses for quick reordering. Apply personal discounts on birthdays. Create custom recipes and adjust ingredient selections. Track order status and view menu items with photos.
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Dmitriy Aleksandrov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-10-01
Vladimir Lavrenov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Zhurba Sergei Vladimirovich, IP
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-20
FUDL PLATFORMA, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Anastasia SHARAPOVA
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Pavel Trushnikov
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-12
SOVA.APP, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
FUDSOUL, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
GC Softbalance LLC
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-15
Viktoriia Muzyria
★ 0.0 0 ratings Food & Drink Free Data updated 2026-11-14
Povar Na Svyazi, OOO
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
Sophie Edis
★ 0.0 0 ratings Food & Drink Free Data updated 2026-09-06
How we rank alternatives Apps are ranked by functional similarity, category fit, rating confidence, and popularity.
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